Christian Bick - Oscillators on evolving networks: Fast and slow evolution
|Starts:||13:00 16 Dec 2020|
|Ends:||14:00 16 Dec 2020|
|What is it:||Seminar|
|Organiser:||Department of Mathematics|
|Who is it for:||University staff, External researchers, Current University students|
Join us for this seminar by Christian Bick (Exeter) as part of the North West Seminar Series in Mathematical Biology and Data Sciences. Details of the full series can be found here https://www.cms.livjm.ac.uk/APMSeminar/
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Abstract: Many processes in nature and technology can be modeled as networks of interacting oscillatory processes. In many cases, the underlying network structure is not static but evolves over time. Specifically, the network dynamics and the dynamics of the underlying network can interact. In this talk we look at two specific examples of dynamics on evolving networks. First, we look at network evolution that is fast compared to the network dynamics leading to a state-dependent network: For example, neural oscillators can be insensitive to new input in certain states, leading to effective 'deactivation' of network connections. Second, we look at network evolution that is slow compare to the network dynamics. Specifically, we look at damage processes in
neurodegenerative diseases such as Alzheimer's disease and how they interact with the network dynamics as the disease evolves.
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Role: Senior Lecturer
Organisation: University of Exeter
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